Putin must be held accountable for Navalny´s death, Cameron says
- Bias Rating
-10% Center
- Reliability
35% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
-40% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
65% : Lord David Cameron said there should be "consequences" for the Russian President after the country's prison agency said the 47-year-old politician and anti-corruption campaigner had died.61% : Speaking to broadcasters as he attends the Munich Security Conference on Friday, Lord Cameron said: "Alexei Navalny was an incredibly brave fighter against corruption and he gave up everything in campaigning for what he believed in, and my heart goes out to his wife and to his family.
46% : "Alexei Navalny with his wife Yulia after a rally in Moscow in 2013 (Evgeny Feldman/AP)Asked whether there should be consequences, he said: "There should be consequences because there's no doubt in my mind that this man was a brave fighter against corruption, for justice, for democracy, and look what Putin's Russia did to him.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.